Traffic Analysis from Video [Master’s Thesis]

Jakub Sochor, supervisor: Adam Herout
GRAPH@FIT, Brno University of Technology
Corresponding authors: isochor [at] fit.vutbr.cz

Abstract

A system for traffic analysis was designed and implemented during work on this thesis. The system is able to detect, track and classify vehicles. Also, the system is able to detect lanes or determine whether a vehicle is passing in wrong way. The speed of observed vehicles is also measured. The system does not require any manual input or calibration whatsoever as the video camera is fully automatically calibrated by detected vanishing points. The accuracy of the detection, tracking and classification is high and the speed of vehicles is measured with a low error. The system runs in real time and it is currently used for a~continuous monitoring of traffic. The main contribution of the thesis is the fully automated speed measurement of passing vehicles.

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Citation

@MastersThesis{Sochor2014,
author = {Jakub Sochor},
title = {Traffic Analysis from Video},
school = {Brno University of Technology, Faculty of Information Technology},
year = {2014}
}

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Supplementary Video